An approach for tree volume estimation using RANSAC and RHT algorithms from TLS dataset
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41320%2F22%3A94462" target="_blank" >RIV/60460709:41320/22:94462 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/article/10.1007/s12518-022-00471-x" target="_blank" >https://link.springer.com/article/10.1007/s12518-022-00471-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12518-022-00471-x" target="_blank" >10.1007/s12518-022-00471-x</a>
Alternative languages
Result language
angličtina
Original language name
An approach for tree volume estimation using RANSAC and RHT algorithms from TLS dataset
Original language description
Forest structure plays a crucial role in maintaining the ecosystem balance. All the biogeochemical cycles need trees for the successful execution of the processes. Nowadays, one of the most critical concerns is the accurate and precise assessment of forest biomass. The biomass assessment can be done by knowing the canopy metrics, stem volume, and specific wood gravity. This research used a terrestrial laser scanner (TLS) to retrieve tree parameters, providing point cloud data (PCD). The parameters derived from PCD are diameter at breast height (DBH) and tree height using randomized Hough transformation (RHT). With these tree parameters, the stem volume of the tree was calculated and correlated with the Forest Survey of India (FSI) equation. The radius, DBH, tree height, and stem volume were also obtained using the Random Sample Consensus (RANSAC) algorithm. The volume calculated using the RANSAC algorithm is statistically analyzed with the volume calculated with the FSI equations available for specif
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
40102 - Forestry
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Geomatics
ISSN
1866-9298
e-ISSN
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Volume of the periodical
14
Issue of the periodical within the volume
4
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
10
Pages from-to
785-794
UT code for WoS article
000869189600001
EID of the result in the Scopus database
2-s2.0-85139873557